QoS‐aware scheduling algorithms to enhance user satisfaction in OFDMA systems

This work aims the development of scheduling algorithms to maximize user satisfaction index in the downlink of an Orthogonal Frequency Division Multiple Access network, considering different traffic models of Non‐Real Time and Real Time services; and more realistic channel conditions, eg, imperfect Channel State Information. To solve the problem of maximizing the satisfaction with affordable complexity, a cross layer optimization approach uses the utility theory to formulate the problem as a weighted sum rate maximization. Aiming at the maximization of the satisfaction of users of Non‐Real Time and Real Time services, 2 scheduling algorithms are proposed: Modified Throughput Satisfaction Maximization and Modified Delay‐based Satisfaction Maximization, respectively. The modification of parameters of the shifted log‐logistic utility function enables different strategies of distribution of resources. System level simulations indicate the accomplishment of the objective of development of efficient and low complexity scheduling algorithms able to maximize the satisfaction indexes. These strategies can be useful to the network operator who is able to design and operate the network according to a planned user satisfaction profile.

[1]  H. Holma,et al.  Deployment Aspects , 2019, 5G Technology.

[2]  Tarcisio F. Maciel,et al.  Maximization of user satisfaction in OFDMA systems using utility-based resource allocation , 2016, Wirel. Commun. Mob. Comput..

[3]  Kin K. Leung,et al.  Optimization-based resource allocation in communication networks , 2014, Comput. Networks.

[4]  Kais Mnif,et al.  Adaptive efficient downlink packet scheduling algorithm in LTE-advanced system , 2014, The 2014 International Symposium on Networks, Computers and Communications.

[5]  Guizhong Liu,et al.  A multi-round resources allocation scheme for OFDMA-based WiMAX based on multiple service classes , 2014, 2014 International Conference on Information Science, Electronics and Electrical Engineering.

[6]  Zhuwei Wang,et al.  Adaptive resource management for downlink OFDMA system with imperfect CSI , 2014 .

[7]  Thomas Lagkas,et al.  Analyzing the Mobile WiMAX System Resource Exploitation of the Downlink Direction , 2013, Wireless Personal Communications.

[8]  Ravinder David Koilpillai,et al.  Fairness-based resource allocation in OFDMA downlink with imperfect CSIT , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[9]  Weiwei Xia,et al.  QoS-aware resource allocation algorithm for OFDMA-WLAN integrated system , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[10]  Vincenzo Mancuso,et al.  A Survey on Opportunistic Scheduling in Wireless Communications , 2013, IEEE Communications Surveys & Tutorials.

[11]  Giuseppe Piro,et al.  Downlink Packet Scheduling in LTE Cellular Networks: Key Design Issues and a Survey , 2013, IEEE Communications Surveys & Tutorials.

[12]  Andreas Timm-Giel,et al.  Multi-QoS-Aware Fair Scheduling for LTE , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[13]  Gustavo de Veciana,et al.  Delay-Optimal Opportunistic Scheduling and Approximations: The Log Rule , 2011, IEEE/ACM Transactions on Networking.

[14]  Philip Schniter,et al.  Joint Scheduling and Resource Allocation in the OFDMA Downlink: Utility Maximization Under Imperfect Channel-State Information , 2010, IEEE Transactions on Signal Processing.

[15]  Hassan Taheri,et al.  Utility-based resource allocation in orthogonal frequency division multiple access networks , 2010, IET Commun..

[16]  Markus Rupp,et al.  System Level Simulation of LTE Networks , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[17]  Angelos N. Rouskas,et al.  Scheduling with QoS provisioning in Mobile Broadband Wireless Systems , 2010, 2010 European Wireless Conference (EW).

[18]  Kumbesan Sandrasegaran,et al.  Performance of well known packet scheduling algorithms in the downlink 3GPP LTE system , 2009, 2009 IEEE 9th Malaysia International Conference on Communications (MICC).

[19]  Markus Rupp,et al.  Simulating the Long Term Evolution physical layer , 2009, 2009 17th European Signal Processing Conference.

[20]  Nikos Dimitriou,et al.  Downlink OFDMA Resource Allocation Under Partial Channel State Information , 2009, 2009 IEEE International Conference on Communications.

[21]  Fernando Casadevall,et al.  Adaptive Radio Resource Allocation Framework for Multi-User OFDM , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[22]  Cyril Leung,et al.  Proportional Fair Multiuser Scheduling in LTE , 2009, IEEE Signal Processing Letters.

[23]  Raj Jain,et al.  Scheduling in IEEE 802.16e mobile WiMAX networks: key issues and a survey , 2009, IEEE Journal on Selected Areas in Communications.

[24]  Anders Furuskar,et al.  Downtilted Base Station Antennas - A Simulation Model Proposal and Impact on HSPA and LTE Performance , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[25]  Walter C. Freitas,et al.  QoS based Radio Resource Allocation and Scheduling with Different User Data Rate Requirements for OFDMA Systems , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[26]  Seungwan Ryu,et al.  Urgency and efficiency based wireless downlink packet scheduling algorithm in OFDMA system , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[27]  Geoffrey Ye Li,et al.  Cross-layer optimization for OFDM wireless networks-part II: algorithm development , 2005, IEEE Transactions on Wireless Communications.

[28]  Geoffrey Ye Li,et al.  Cross-layer optimization for OFDM wireless networks-part I: theoretical framework , 2005, IEEE Trans. Wirel. Commun..

[29]  Ji Yang,et al.  Average rate updating mechanism in proportional fair scheduler for HDR , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[30]  Kwang Bok Lee,et al.  Transmit power adaptation for multiuser OFDM systems , 2003, IEEE J. Sel. Areas Commun..

[31]  Matthew Andrews,et al.  Providing quality of service over a shared wireless link , 2001, IEEE Commun. Mag..

[32]  T. Rappaport.  Wireless Communications: Principles and Practice , 1996 .

[33]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[34]  Tarcisio F. Maciel,et al.  Throughput-Based Satisfaction Maximization for a Multi-Cell Downlink OFDMA System Considering Imperfect CSI , 2015 .

[35]  Theodore S. Rappaport,et al.  Wireless Communications: Principles and Practice (2nd Edition) by , 2012 .

[36]  Tarcisio F. Maciel,et al.  Impact Evaluation of Imperfect Channel State Information on the Performance of Downlink CoMP Systems , 2011 .

[37]  Walter C. Freitas,et al.  Scheduling for Improving System Capacity in Multiservice 3GPP LTE , 2010, J. Electr. Comput. Eng..

[38]  Brian L. Evans,et al.  Optimal resource allocation in the OFDMA downlink with imperfect channel knowledge , 2009, IEEE Transactions on Communications.

[39]  F. Rafael,et al.  Scheduling Algorithm for Improved System Capacity of Real-Time Services in 3GPP LTE , 2009 .

[40]  Vom Fachbereich.  Suboptimal Resource Allocation for Multi-User MIMO-OFDMA Systems , 2008 .

[41]  Geoffrey Ye Li,et al.  Max-utility wireless resource management for best-effort traffic , 2005, IEEE Transactions on Wireless Communications.

[42]  Stefan Bilbao,et al.  Proceedings of the European Signal Processing Conference , 2005 .

[43]  Frank Kelly,et al.  Charging and rate control for elastic traffic , 1997, Eur. Trans. Telecommun..